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Record W1971372413 · doi:10.1353/bhm.2000.0198

Beyond the "Two Psychiatries": Jack Pressman's Last Resort and the History of Twentieth-Century American Psychiatry: Introduction

2000· article· en· W1971372413 on OpenAlexaboutno aff
Nancy Tomes

Bibliographic record

VenueBulletin of the history of medicine · 2000
Typearticle
Languageen
FieldPsychology
TopicHistorical Psychiatry and Medical Practices
Canadian institutionsnot available
Fundersnot available
KeywordsHonorHistoryClassicsSociologyGerontologyPsychologyMedicine

Abstract

fetched live from OpenAlex

After Jack Pressman's death in June 1997, friends and colleagues sought various ways to honor his memory. With the help of Guenter Risse, Jack's colleague at the University of California at San Francisco, I organized one such event for the 1998 annual meeting of the American Association for the History of Medicine in Toronto, Canada: a lunchtime symposium titled "Beyond the 'Two Psychiatries': A Roundtable Discussion of the History of Twentieth-Century American Psychiatry." Guenter Risse chaired the session, and shared his own personal reflections on Jack's career at the University of California at San Francisco. In preparing their presentations, the other participants--John Burnham, Ellen Dwyer, and Joel Braslow--were asked to comment on two related questions: first, what problems does writing the history of twentieth-century psychiatry pose for scholars; and second, how does Jack's work point to directions that future work should take? The papers in this Bulletin collection are revised versions of the talks that they gave at the Toronto meeting.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.040
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0090.010
Scholarly communication0.0060.006
Open science0.0010.003
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0040.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.255
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2000
Admission routes1
Has abstractyes

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